Zobrazeno 1 - 10
of 661
pro vyhledávání: '"Zhiyong LU"'
Publikováno v:
Zhongguo shuxue zazhi, Vol 37, Iss 9, Pp 1047-1051 (2024)
Objective To observe the changes of coagulation factor activity and protein content of the thawed fresh frozen plasma (FFP) and fresh liquid plasma (FLP) during storage at 2-6℃, and to provide reference for exploring the appropriate storage time of
Externí odkaz:
https://doaj.org/article/b0f2eb023e4546c7aca77d416ba71167
Autor:
Po-Ting Lai, Elisabeth Coudert, Lucila Aimo, Kristian Axelsen, Lionel Breuza, Edouard de Castro, Marc Feuermann, Anne Morgat, Lucille Pourcel, Ivo Pedruzzi, Sylvain Poux, Nicole Redaschi, Catherine Rivoire, Anastasia Sveshnikova, Chih-Hsuan Wei, Robert Leaman, Ling Luo, Zhiyong Lu, Alan Bridge
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-19 (2024)
Abstract Expert curation is essential to capture knowledge of enzyme functions from the scientific literature in FAIR open knowledgebases but cannot keep pace with the rate of new discoveries and new publications. In this work we present EnzChemRED,
Externí odkaz:
https://doaj.org/article/b9a57f68dd5d490c87328b11d28da642
Publikováno v:
Communications Medicine, Vol 4, Iss 1, Pp 1-6 (2024)
Abstract Background Large language models like GPT-3.5-turbo and GPT-4 hold promise for healthcare professionals, but they may inadvertently inherit biases during their training, potentially affecting their utility in medical applications. Despite fe
Externí odkaz:
https://doaj.org/article/b4aefcb48c8f45e281818880f8fc1659
Autor:
Gongbo Zhang, Qiao Jin, Yiliang Zhou, Song Wang, Betina Idnay, Yiming Luo, Elizabeth Park, Jordan G. Nestor, Matthew E. Spotnitz, Ali Soroush, Thomas R. Campion, Zhiyong Lu, Chunhua Weng, Yifan Peng
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-8 (2024)
Abstract Large language models (LLMs) hold great promise in summarizing medical evidence. Most recent studies focus on the application of proprietary LLMs. Using proprietary LLMs introduces multiple risk factors, including a lack of transparency and
Externí odkaz:
https://doaj.org/article/6c87374f013c4e07837f142b58d864e3
Autor:
Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah H. Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Deep learning has enabled breakthroughs in automated diagnosis from medical imaging, with many successful applications in ophthalmology. However, standard medical image classification approaches only assess disease presence at the time of ac
Externí odkaz:
https://doaj.org/article/d5bb7ebb0d8746ec9edb8eafe05c20f8
Autor:
Qiao Jin, Fangyuan Chen, Yiliang Zhou, Ziyang Xu, Justin M. Cheung, Robert Chen, Ronald M. Summers, Justin F. Rousseau, Peiyun Ni, Marc J. Landsman, Sally L. Baxter, Subhi J. Al’Aref, Yijia Li, Alexander Chen, Josef A. Brejt, Michael F. Chiang, Yifan Peng, Zhiyong Lu
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-6 (2024)
Abstract Recent studies indicate that Generative Pre-trained Transformer 4 with Vision (GPT-4V) outperforms human physicians in medical challenge tasks. However, these evaluations primarily focused on the accuracy of multi-choice questions alone. Our
Externí odkaz:
https://doaj.org/article/59fddd1b59b84a58bdb3e77d502905d6
Autor:
Jinmeng Zhu, Jiapeng Wang, Jia Wang, Jinghan Ding, Xichen Zhao, Wenqiang Dong, Zhiyong Lu, Xuanhua Li
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-13 (2024)
Abstract Removing unwanted materials, such as organic coatings and soil, from the cultural relic surface is a complex and significant task in the field of cultural heritage conservation. Microemulsion-loaded gel can effectively and safely remove thos
Externí odkaz:
https://doaj.org/article/737d400717354e1bb668a5e0f0bf4faa
Autor:
Rui Yang, Qingcheng Zeng, Keen You, Yujie Qiao, Lucas Huang, Chia-Chun Hsieh, Benjamin Rosand, Jeremy Goldwasser, Amisha Dave, Tiarnan Keenan, Yuhe Ke, Chuan Hong, Nan Liu, Emily Chew, Dragomir Radev, Zhiyong Lu, Hua Xu, Qingyu Chen, Irene Li
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e60601 (2024)
BackgroundMedical texts present significant domain-specific challenges, and manually curating these texts is a time-consuming and labor-intensive process. To address this, natural language processing (NLP) algorithms have been developed to automate t
Externí odkaz:
https://doaj.org/article/636cfe56b72c41f0aa9d2e22d25cb671
Autor:
Amr Elsawy, Tiarnan D. L. Keenan, Qingyu Chen, Alisa T. Thavikulwat, Sanjeeb Bhandari, Ten Cheer Quek, Jocelyn Hui Lin Goh, Yih-Chung Tham, Ching-Yu Cheng, Emily Y. Chew, Zhiyong Lu
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-11 (2023)
Abstract Background Cataract diagnosis typically requires in-person evaluation by an ophthalmologist. However, color fundus photography (CFP) is widely performed outside ophthalmology clinics, which could be exploited to increase the accessibility of
Externí odkaz:
https://doaj.org/article/dd9c596affd749548d95bda8a94d5b55
Autor:
Gregory Holste, Mingquan Lin, Ruiwen Zhou, Fei Wang, Lei Liu, Qi Yan, Sarah H. Van Tassel, Kyle Kovacs, Emily Y. Chew, Zhiyong Lu, Zhangyang Wang, Yifan Peng
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/24b81443059e437bb7cb6627f300ae1c